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On the Width Scaling of Neural Optimizers Under Matrix Operator Norms I: Row/Column Normalization and Hyperparameter TransferNorthwestern University, University of British Columbia, University of Chicago
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Reinforced Generation of Combinatorial Structures: Ramsey Numbers
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Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
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MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data
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OpenClaw-RL: Train Any Agent Simply by TalkingPrinceton University
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InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and EditingFudan University, Nanjing University, Shanghai AI Laboratory, Shanghai Jiao Tong University, South China University of Technology, The Chinese University of Hong Kong Multimedia Laboratory, Tsinghua University, University of Science and Technology of China, Xiamen University
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Reward Prediction with Factorized World StatesEast China Normal University, Hong Kong University of Science and Technology
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Hybrid Quantum-Classical Encoding for Accurate Residue-Level pKa Prediction
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Hybrid Quantum Neural Network for Multivariate Clinical Time Series Forecasting
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TALON: Test-time Adaptive Learning for On-the-Fly Category Discovery
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Tiny Autoregressive Recursive Models
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High-Fidelity Pruning for Large Language Models
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From Reactive to Map-Based AI: Tuned Local LLMs for Semantic Zone Inference in Object-Goal Navigation
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EAGLE-Pangu: Accelerator-Safe Tree Speculative Decoding on Ascend NPUs
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DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation
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Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization
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DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning
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TrianguLang: Geometry-Aware Semantic Consensus for Pose-Free 3D Localization
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Adaptive MLP Pruning for Large Vision Transformers
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Invisible Safety Threat: Malicious Finetuning for LLM via Steganography
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Tau-BNO: Brain Neural Operator for Tau Transport Model
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SAMoE-VLA: A Scene Adaptive Mixture-of-Experts Vision-Language-Action Model for Autonomous Driving
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UIS-Digger: Towards Comprehensive Research Agent Systems for Real-world Unindexed Information Seeking
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Model-based Offline RL via Robust Value-Aware Model Learning with Implicitly Differentiable Adaptive Weighting
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SaiVLA-0: Cerebrum--Pons--Cerebellum Tripartite Architecture for Compute-Aware Vision-Language-Action
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Ramsa: A Large Sociolinguistically Rich Emirati Arabic Speech Corpus for ASR and TTS
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Foley-Flow: Coordinated Video-to-Audio Generation with Masked Audio-Visual Alignment and Dynamic Conditional Flows
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EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery
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TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception -- Don't Treat All Uncertainty the Same
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Explainable Condition Monitoring via Probabilistic Anomaly Detection Applied to Helicopter Transmissions
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UniGround: Universal 3D Visual Grounding via Training-Free Scene Parsing
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Fast Low-light Enhancement and Deblurring for 3D Dark Scenes
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VesselFusion: Diffusion Models for Vessel Centerline Extraction from 3D CT Images
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Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach
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DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
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Training event-based neural networks with exact gradients via Differentiable ODE Solving in JAX
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MV-Fashion: Towards Enabling Virtual Try-On and Size Estimation with Multi-View Paired Data
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Gradually Excavating External Knowledge for Implicit Complex Question Answering
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Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors
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Gender Bias in MT for a Genderless Language: New Benchmarks for Basque
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C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis
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Are We Winning the Wrong Game? Revisiting Evaluation Practices for Long-Term Time Series Forecasting
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Outlier-robust Autocovariance Least Square Estimation via Iteratively Reweighted Least Square
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Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning
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Covenant-72B: Pre-Training a 72B LLM with Trustless Peers Over-the-Internet
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An explainable hybrid deep learning-enabled intelligent fault detection and diagnosis approach for automotive software systems validation
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RexDrug: Reliable Multi-Drug Combination Extraction through Reasoning-Enhanced LLMs
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Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous Data
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Evolution Strategy-Based Calibration for Low-Bit Quantization of Speech Models
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MERLIN: Building Low-SNR Robust Multimodal LLMs for Electromagnetic Signals
